68 search results - page 6 / 14 » Online Multiple Kernel Learning: Algorithms and Mistake Boun... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
COLT
2001
Springer
14 years 1 days ago
2001
Springer
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
FOCM
2008
13 years 7 months ago
2008
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...